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18 March 2024 Cross-interference correction for multi-gas TDLAS detection
Li Wang, Tingting Zhang, Yong Zhou, Qinduan Zhang, Yubin Wei, Zhengran Hou, Changfeng Zhang, Fengjun Guo
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Proceedings Volume 13104, Advanced Fiber Laser Conference (AFL2023); 131042P (2024) https://doi.org/10.1117/12.3023160
Event: Advanced Fiber Laser Conference (AFL2023), 2023, Shenzhen, China
Abstract
Multi-component gases are a typical form of practical field measurement environment, and the issue of cross-interference between multi-component gases can significantly impact the precision of detection results. Multi-component gas detection is a promising use of Tunable Diode Laser Absorption Spectroscopy (TDLAS), an optical technology with wavelength tunability, high selectivity, and multi-component detection capabilities. This paper describes the reasons and correction methods for the cross-interference phenomenon of multi-component gases, introduces several multi-component gas detection algorithms based on TDLAS technology, analyzes the advantages and disadvantages of the algorithms as well as their scope of application, and aims to provide a reference for the cross-interference correction technology of multi-component gas detection.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Li Wang, Tingting Zhang, Yong Zhou, Qinduan Zhang, Yubin Wei, Zhengran Hou, Changfeng Zhang, and Fengjun Guo "Cross-interference correction for multi-gas TDLAS detection", Proc. SPIE 13104, Advanced Fiber Laser Conference (AFL2023), 131042P (18 March 2024); https://doi.org/10.1117/12.3023160
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KEYWORDS
Neural networks
Gases
Independent component analysis
Absorption spectrum
Absorption spectroscopy
Light absorption
Tunable diode lasers
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